How do I trigger DevSeerAI on GitHub?

Once the DevSeerAI app is installed on your repository, navigate to any issue and post a comment containing '@devseerai analyze'. The AI will respond with a plan in seconds.

Does DevSeerAI train on my private code?

No. DevSeerAI has a strict privacy policy stating that your code is never used for training AI models.

Where is DevSeerAI data hosted?

DevSeerAI is hosted in the EU and uses infrastructure secured by SOC 2 Type II providers, with all data encrypted at rest and in transit.

What kind of estimates does it provide?

It provides time estimates and complexity scores based on the actual code context and the description provided in the GitHub issue.

Can I delete my data?

Yes, DevSeerAI provides on-demand data deletion, giving users full control over their data lifecycle.

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Coding

Free

DevSeerAI

Turn GitHub Issues into actionable development roadmaps with AI. Get complexity scores, time estimates, and step-by-step plans directly in your GitHub comments.

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Rating

Reviews

Upvotes

3 months ago

Listed

GitHub

Project Management

Software Development

Roadmap

Issue Tracking

Developer Tools

AI Agents

Tool information

Provider

DevSeerAI

Platforms

Web

GitHub

Languages

English

Added to directory

3 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

Free

About DevSeerAI

What the tool does and who it's for

DevSeerAI is an AI-powered development assistant that integrates directly into GitHub to transform vague issues into actionable roadmaps. By commenting '@devseerai analyze' on any issue, teams receive a structured breakdown including complexity scores, time estimates, and step-by-step implementation guides. It leverages repository-specific context and semantic code search to identify relevant files and potential blockers, helping engineering teams reduce manual triage time by up to 80% and improve estimation accuracy.

Key capabilities

In-Issue Analysis: Trigger AI analysis by simply commenting '@devseerai analyze' on any GitHub issue.

Complexity Scoring: Automatically evaluates task difficulty (Low/Medium/High) based on repository context.

Automatic Estimation: Provides AI-driven time estimates to improve sprint planning accuracy.

Step-by-Step Implementation Guides: Generates detailed technical plans tailored to the specific issue and codebase.

Dependency Mapping: Identifies required dependencies and potential blockers before development starts.

Semantic Code Search: Automatically locates relevant files and functions within the repository to save hunt time.

Context-Aware Intelligence: Analyzes the actual codebase to ensure recommendations match existing architectural patterns.

Privacy Focused: No implicit scanning; code is only analyzed on-demand and is never used for training AI models.

Pricing

Free — plans below

Open Beta

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